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The map uses data from the DOLLY Project at the University of Kentucky, which provides an archive of tweets that have been tagged with a location. The tweets were from June 2012 to April 2013.

Stephens had the help of three geography students — Amelia Egle, a junior; Miles Ross, a senior; and Matt Eiben, a graduate student — to analyze the tweets and build the map.

The students read them to determine whether they were hateful, positive or neutral.

“It was hard sometimes to make that decision,” Egle said. “There were definitely some racist and shocking statements that you aren’t expecting at first.”

Growing up in California, Ross said he heard racism a lot, but mostly in closed circles.

“It was surprising they would actually say these words to begin with and also have a spacial location attached to it,” he said.

Geotagged tweets are a small percentage of total Twitter traffic. People have to opt in to provide the geographic location from where they are tweeting. But those that are geotagged provide a good representation of what is being tweeted, Johnson said.

Eiben joined the project after Egle and Ross had been working on it for several months to help out with the technical end and creating the visualization of the data.

He said steps were taken to protect the privacy of people who tweeted the hateful speech.

The map’s result was based on how often people used Twitter in that particular location. A ratio was created by county to see what proportion of tweets were hateful, Stephens said.

“People may feel their communities are misrepresented, but these are parts of the community that they may not be interacting with and may not see,” she said. “We hope that this is an impetus for a conversation with members of a community about using these words and not supporting these groups.”

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Those upset with how the maps looks can help change it by geocoding their own tweets, which would help improve the ratio of overall tweets to those with hate words in them, Stephens said.

“Stop tweeting hate,” Stephens said. “Start tweeting things that are more benign, that mention how much support there is and resources there are in the community for individuals. If Twitter had more of that and a little less negative sentiment, that would change it.”

She said she hopes the map encourages people to reach out and start conversations with their neighbors and others who are different from themselves.

“We hope that people are offended by this language,” Stephens said. “We hope people are shocked by it.”

To see the map, go to http://users.humboldt.edu/mstephens/hate/hate(underscore)map.html(pound sign)